Initial commit

Divers/tutoriel18-1/threshold.py

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+import cv2
+import numpy as np
+import operator
+
+methode=cv2.ADAPTIVE_THRESH_GAUSSIAN_C
+v1=9
+
+cap=cv2.VideoCapture(0)
+while True:
+    ret, frame=cap.read()
+    gray=cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+    gray=cv2.GaussianBlur(gray, (5, 5), 0)
+    thresh=cv2.adaptiveThreshold(gray, 255, methode, cv2.THRESH_BINARY_INV, v1, 2)
+    cv2.imshow("thresh", thresh)
+    txt="ADAPTIVE_THRESH_MEAN_C" if methode==cv2.ADAPTIVE_THRESH_MEAN_C else "ADAPTIVE_THRESH_GAUSSIAN_C"
+    cv2.putText(frame, "[p|m]v1: {:2d}  [o]methode: {}".format(v1, txt), (10, 20), cv2.FONT_HERSHEY_COMPLEX_SMALL, 0.9, (0, 0, 255), 1)
+    cv2.imshow("frame", frame)
+    key=cv2.waitKey(1)&0xFF
+    if key==ord('q'):
+        break
+    if key==ord('p'):
+        v1=min(21, v1+2)
+    if key==ord('m'):
+        v1=max(3, v1-2)
+    if key==ord('o'):
+        if methode==cv2.ADAPTIVE_THRESH_GAUSSIAN_C:
+            methode=cv2.ADAPTIVE_THRESH_MEAN_C
+        else:
+            methode=cv2.ADAPTIVE_THRESH_GAUSSIAN_C
+cap.release()
+cv2.destroyAllWindows()